Routing 50M+ requests/day

One API Key.
Every LLM.

Route to Claude, GPT-4, Gemini, Llama, and 9 more providers — with 40% cost savings via semantic caching and automatic failover when providers go down.

# Drop-in replacement — 3 lines to switch
from openai import OpenAI

client = OpenAI(
    api_key="fur_xxxxxxxxxxxx",
    base_url="https://api.furion.dev/v1"
)

response = client.chat.completions.create(
    model="claude-3-sonnet",  # or gpt-4o, gemini-pro…
    messages=[{"role": "user", "content": "Hello!"}]
)
50M+
Requests / day
40%
Avg cost savings
99.97%
Uptime SLA
12
AI providers
Claude 3.5
GPT-4o
Gemini 1.5
Llama 3.1
Mistral
Command R+
Grok
DeepSeek
+ 4 more
Why Furion

Stop managing 12 API keys

Every LLM provider has different SDKs, rate limits, pricing, and outage schedules. Furion abstracts all of it behind one unified gateway.

❌ Without Furion
🔒Vendor lock-in — changing models requires rewriting SDK calls across your entire codebase
💸Invisible costs — no idea which feature or team is burning your LLM budget
💥No failover — when OpenAI has an outage, your product goes down with it
🔑12 API keys — rotating, securing, and auditing credentials across every provider
✅ With Furion
🔓Switch providers with a model string — model="gpt-4o" becomes model="claude-3-sonnet" instantly ℹ
📊Per-feature, per-team cost attribution — drill down to the exact prompt costing you money ℹ
🛡️Auto failover in <200ms — if Claude is down, routes to GPT-4 without you noticing ℹ
🗝️One fur_ API key for everything — rotate once, works everywhere ℹ
Features

Everything your LLM stack needs

Built for developers spending $500–$5,000/month on LLM APIs who need reliability and visibility.

⚡
Semantic Caching ℹ
Save ~40% on API costs by caching semantically identical requests. Configurable TTL and similarity threshold per route.
🔀
Smart Routing ℹ
Route by cost, latency, or custom logic. Define fallback chains so your app stays up when any single provider has issues.
🛡️
Zero-Config Failover ℹ
99.97% uptime SLA backed by automatic failover across 12 providers. Your users never see a degraded experience.
📊
Team Analytics ℹ
Full cost attribution by team, feature, and model. Know exactly which part of your product is driving LLM spend.
🎮
Built-in Playground ℹ
Test prompts across all providers side-by-side without leaving your dashboard. Compare cost and quality instantly.
🔑
Rate Limits & Keys ℹ
Create scoped API keys per environment or team with spend caps, rate limits, and allowed model lists.
Pricing

Simple, usage-based pricing

Pay for what you use. Semantic caching means Furion often pays for itself many times over.

Free
Get started, no card needed
$0/mo
100K requests / month
✓All 12 providers
✓Semantic caching
✓Basic analytics
✓1 API key
✓Community support
Most Popular
Developer
For solo devs & small teams
$23 /mo
2M requests / month
✓Everything in Free
✓Advanced analytics & attribution
✓5 API keys
✓Priority routing
✓Email support
Team
For growing engineering teams
$79 /mo
10M requests / month
✓Everything in Developer
✓SSO / SAML
✓Unlimited API keys
✓Spend alerts & budgets
✓Slack integration

Need more? Talk to us about Enterprise — custom limits, SLA, dedicated infrastructure.

Social Proof

Teams saving real money

★★★★★

"We were spending $4,200/month on OpenAI. After enabling Furion's semantic cache, we're at $2,700/month — same quality, same latency. The ROI was immediate."

A
Alex Chen
CTO, Narrative AI
★★★★★

"OpenAI had a 2-hour outage last Tuesday. Our product didn't go down — Furion silently routed everything to Claude. Our users never noticed. That's worth every penny."

M
Marcus Rivera
Founder, DocuFlow
★★★★★

"Finally know which team is spending what. Our search feature was burning 60% of our LLM budget on a prompt that could be cached. Cost attribution alone is worth the subscription."

S
Sarah Kim
Head of Eng, Stackwise
FAQ

Common questions

Is Furion just a proxy? ⌄
Furion is a smart routing gateway. Beyond proxying requests, it adds semantic caching (saves ~40% on costs), automatic failover across providers, per-team cost attribution, rate limiting, spend caps, and a unified analytics dashboard. It's the infrastructure layer your LLM stack is missing.
Do you store my prompts? ⌄
Prompts are only stored when semantic caching is enabled (to compute embeddings and match future requests). You can disable caching per-route, use hash-only caching, or self-host the cache layer. We never use your data for model training.
What if Furion itself goes down? ⌄
Furion runs across 4 regions with automatic failover. Our 99.97% uptime SLA means <2.6 hours downtime per year. We publish a real-time status page and notify you via email or Slack before any planned maintenance.
How is this different from OpenRouter or LiteLLM? ⌄
OpenRouter is great for routing but has no semantic caching, no cost attribution, and no SLA. LiteLLM is self-hosted — you run and maintain the infrastructure. Furion is a managed service with enterprise-grade reliability, semantic caching, and a full analytics suite. Portkey charges $49–$499/month for similar features; Furion starts free.
How long does integration take? ⌄
If you're already using the OpenAI SDK, it's literally 2 lines: change api_key and base_url. No new dependencies, no schema changes. Most teams are live in under 5 minutes.
Can I use my existing OpenAI API key? ⌄
Yes. Add your OpenAI (and any other provider) keys to the Furion dashboard once. Furion securely stores and uses them when routing to that provider. You never need to touch those keys in your codebase again — just use your fur_ key everywhere.
Get started today

Start Routing in 60 Seconds

Free tier. No credit card. 100K requests/month to try every feature.

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